The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets. - Samuel Marks; Max Tegmark (CoRR, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. - Adam Karvonen; Benjamin Wright; Can Rager; Rico Angell; Jannik Brinkmann; Logan Smith; Claudio Mayrink Verdun; David Bau; Samuel Marks (NeurIPS, 2024)

Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data. - Johannes Treutlein; Dami Choi; Jan Betley; Samuel Marks; Cem Anil; Roger B. Grosse; Owain Evans (NeurIPS, 2024)

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models. - Carson Denison; Monte MacDiarmid; Fazl Barez; David Duvenaud; Shauna Kravec; Samuel Marks; Nicholas Schiefer; Ryan Soklaski; Alex Tamkin; Jared Kaplan; Buck Shlegeris; Samuel R. Bowman; et al. (CoRR, 2024)

NNsight and NDIF: Democratizing Access to Foundation Model Internals. - Jaden Fiotto-Kaufman; Alexander R. Loftus; Eric Todd; Jannik Brinkmann; Caden Juang; Koyena Pal; Can Rager; Aaron Mueller; Samuel Marks; Arnab Sen Sharma; Francesca Lucchetti; Michael Ripa; et al. (CoRR, 2024)

The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability. - Aaron Mueller; Jannik Brinkmann; Millicent L. Li; Samuel Marks; Koyena Pal; Nikhil Prakash; Can Rager; Aruna Sankaranarayanan; Arnab Sen Sharma; Jiuding Sun; Eric Todd; David Bau; et al. (CoRR, 2024)

Erasing Conceptual Knowledge from Language Models. - Rohit Gandikota; Sheridan Feucht; Samuel Marks; David Bau (CoRR, 2024)

Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks. - Adam Karvonen; Can Rager; Samuel Marks; Neel Nanda (CoRR, 2024)

Alignment faking in large language models. - Ryan Greenblatt; Carson Denison; Benjamin Wright; Fabien Roger; Monte MacDiarmid; Samuel Marks; Johannes Treutlein; Tim Belonax; Jack Chen; David Duvenaud; Akbir Khan; Julian Michael; et al. (CoRR, 2024)

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. - Jaden Fried Fiotto-Kaufman; Alexander Russell Loftus; Eric Todd; Jannik Brinkmann; Koyena Pal; Dmitrii Troitskii; Michael Ripa; Adam Belfki; Can Rager; Caden Juang; Aaron Mueller; Samuel Marks; et al. (ICLR, 2025)

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. - Samuel Marks; Can Rager; Eric J. Michaud; Yonatan Belinkov; David Bau; Aaron Mueller (ICLR, 2025)

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. - Adam Karvonen; Can Rager; Johnny Lin; Curt Tigges; Joseph Isaac Bloom; David Chanin; Yeu-Tong Lau; Eoin Farrell; Callum McDougall; Kola Ayonrinde; Matthew Wearden; Arthur Conmy; et al. (CoRR, 2025)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)

Unsupervised Elicitation of Language Models. - Jiaxin Wen; Zachary Ankner; Arushi Somani; Peter Hase; Samuel Marks; Jacob Goldman-Wetzler; Linda Petrini; Henry Sleight; Collin Burns; He He 001; Shi Feng 005; Ethan Perez; et al. (CoRR, 2025)

Robustly Improving LLM Fairness in Realistic Settings via Interpretability. - Adam Karvonen; Samuel Marks (CoRR, 2025)

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data. - Alex Cloud; Minh Le; James Chua; Jan Betley; Anna Sztyber-Betley; Jacob Hilton; Samuel Marks; Owain Evans (CoRR, 2025)

Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning. - Helena Casademunt; Caden Juang; Adam Karvonen; Samuel Marks; Senthooran Rajamanoharan; Neel Nanda (CoRR, 2025)